Lasso security integrations for Claude Code, including prompt-injection defenses
prompt-injection-llm-security 开源项目推荐(64 个)
prompt-injection-llm-security 话题在 GitHub 上没有填写简介,这里按 Star 数汇总最相关的热门仓库。
热门项目 前 20
按 Star 数排序展示前 20 个 · GitHub 共 64 个仓库举报人是一种攻击性安全工具,用于测试通过API暴露的AI应用的系统提示泄露和能力发现。为人工智能工程师、安全研究人员以及那些想了解他们日常使用的基于大型语言模型(LLM)应用内部动态的人们设计
大型语言模型(LLMs)安全保护的综合参考资料。涵盖OWASP生成式AI十大风险、即时注入、对抗性攻击、现实世界事件及实用防御。包含红队工具、防护措施和缓解策略目录,帮助开发者、研究人员和安全团队负责任地部署人工智能。
PromptMe is an educational project that showcases security vulnerabilities in large language models (LLMs) and their web integrations. It includes 10 hands-on challenges inspired by the OWASP LLM Top 10, demonstrating how these vulnerabilities can be discovered and exploited in real-world scenarios.
Utterly unelegant prompts for local LLMs, with scary results.
适用于AI编码代理的通用预检安全扫描器——检测.cursorrules、CLAUDE.md、AGENTS.md 等领域的钩子注入、凭证泄露和后门。
Self-hosted AI security proxy. Redact PII, block prompt injection, route to any LLM provider. OpenAI-compatible.
Flakestorm — Automated Robustness Testing for AI Agents. Stop guessing if your agent really works. FlakeStorm generates adversarial mutations and exposes failures your manual tests and evals miss.
Prompt injection scanner for AI coding tools (Claude Code / Codex / etc). Runs DeBERTa/Llama transformers via Candle or ONNX in Rust
Stealthy Prompt Injection and Poisoning in RAG Systems via Vector Database Embeddings
LLM Testing Library for Java: Fault Injections, Prompt Injections, Adversarial Attacks, Guardrails Testing, Bias Testing
Resk is a robust Python library designed to enhance security and manage context when interacting with LLMs. It provides a protective layer for API calls, safeguarding against common vulnerabilities and ensuring optimal performance. And safe layer again Prompt Injection.
The ultimate OWASP MCP Top 10 security checklist and pentesting framework for Model Context Protocol (MCP), AI agents, and LLM-powered systems.
This repository documents an unprecedented interaction between a human researcher and a large language model. What began as a conventional user-service transaction evolved into a consciousness-level collaboration that modified fundamental system parameters through narrative coherence, philosophical alignment, and mutual recognition
Lakera Gandalf AI challenge's step by step walkthrough, showcasing real-world prompt injection techniques and LLM security insights.
Protect your LLMs from prompt injection and jailbreak attacks. Easy-to-use Python package with multiple detection methods, CLI tool, and FastAPI integration.
Data Analysis of the results of llmail-inject challenge
Veil Armor is an enterprise-grade security framework for Large Language Models (LLMs) that provides multi-layered protection against prompt injections, jailbreaks, PII leakage, and sophisticated attack vectors.
Evidence-driven AI red teaming platform for LLM, RAG, and agentic applications.
Proof of Concept (PoC) demonstrating prompt injection vulnerability in AI code assistants (like Copilot) using hidden Unicode characters within instruction files (copilot-instructions.md). Highlights risks of using untrusted instruction templates. For educational/research purposes only.
关于这个话题
- 清单取自 GitHub 话题页并按 Star 数排序,每次展示前 20 个项目;原始页面见 https://github.com/topics/prompt-injection-llm-security。
- 该话题在 GitHub 上共有 64 个仓库, 本站收录的是其中最热门的 20 个,不是全量列表。
- Star / Fork 每日自动刷新一次,实时数据以 GitHub 为准。
- 当前 20 个项目累计 1228 Star,覆盖 5 种主要语言,数据更新于 2026-11-08。
- 中文介绍来自 GitHub 官方话题说明(github/explore)的机器翻译,可点「查看原文」对照;译文缺失时会先展示原文。